37
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      External validation of a collar-mounted triaxial accelerometer for second-by-second monitoring of eight behavioural states in dogs

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Early detection of disease by an animal owner may motivate them to seek early veterinary advice. Presentation before a more advanced clinical manifestation is evident could lead to more effective treatment and thus benefit the animal’s health and welfare. Accelerometers are able to detect changes in specific activities or behaviours, thus indicating early signs of possible adverse health events. The objective of this validation study was to determine whether the detection of eight behavioural states: walk, trot, canter/gallop, sleep, static/inactive, eat, drink, and headshake, by an accelerometer device was sufficiently accurate to be useful in a clinical setting. This fully independent external validation estimated the accuracy of a specific triaxial, collar-mounted accelerometer on a second-by second basis in 51 healthy dogs of different breeds, aged between 6 months and 13 years, weighing >10 kg. The overall diagnostic effectiveness was estimated as: % record correctly classified of > 95% in walk, trot, canter/gallop, eat, drink and headshake and >90% in sleep and static/inactive. The positive predictive values ranged from 93–100%, while the negative predictive values ranged from 96–100%, with exception of static/inactive (86%).This was probably because dogs were placed in unfamiliar kennels where they did not exhibit their typical resting behaviour. The device is worn on a collar, making its use feasible for anyone wanting to monitor their dog’s behaviour. The high accuracy in detecting various kinds of behaviour appears promising in assessing canine health and welfare states.

          Related collections

          Most cited references36

          • Record: found
          • Abstract: not found
          • Article: not found

          Diagnostic tests 4: likelihood ratios.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Assessing the generalizability of prognostic information.

            Physicians are often asked to make prognostic assessments but often worry that their assessments will prove inaccurate. Prognostic systems were developed to enhance the accuracy of such assessments. This paper describes an approach for evaluating prognostic systems based on the accuracy (calibration and discrimination) and generalizability (reproducibility and transportability) of the system's predictions. Reproducibility is the ability to produce accurate predictions among patients not included in the development of the system but from the same population. Transportability is the ability to produce accurate predictions among patients drawn from a different but plausibly related population. On the basis of the observation that the generalizability of a prognostic system is commonly limited to a single historical period, geographic location, methodologic approach, disease spectrum, or follow-up interval, we describe a working hierarchy of the cumulative generalizability of prognostic systems. This approach is illustrated in a structured review of the Dukes and Jass staging systems for colon and rectal cancer and applied to a young man with colon cancer. Because it treats the development of the system as a "black box" and evaluates only the performance of the predictions, the approach can be applied to any system that generates predicted probabilities. Although the Dukes and Jass staging systems are discrete, the approach can also be applied to systems that generate continuous predictions and, with some modification, to systems that predict over multiple time periods. Like any scientific hypothesis, the generalizability of a prognostic system is established by being tested and being found accurate across increasingly diverse settings. The more numerous and diverse the settings in which the system is tested and found accurate, the more likely it will generalize to an untested setting.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Health status and population characteristics of dogs and cats examined at private veterinary practices in the United States.

              To determine age, breed, sex, body condition score, and diet of dogs and cats examined at private veterinary practices in the United States during 1995, and estimate prevalences of the most common disorders for these animals. Cross-sectional study. 31,484 dogs and 15,226 cats examined by veterinary practitioners at 52 private veterinary practices. Information on age, breed, sex, body condition score, diet, and assigned diagnostic codes were collected electronically from participating practices and transferred to a relational database. Prevalence estimates and frequencies for population description were generated using statistical software. Dental calculus and gingivitis were the most commonly reported disorders. About 7% of dogs and 10% of cats examined by practitioners during the study were considered healthy. Many conditions were common to both species (e.g., flea infestation, conjunctivitis, diarrhea, vomiting). Dogs were likely to be examined because of lameness, disk disease, lipoma, and allergic dermatitis. Cats were likely to be examined because of renal disease, cystitis, feline urologic syndrome, and inappetence. Results can be used by veterinary practitioners to better understand and anticipate health problems of importance in cats and dogs they examine and to better communicate with clients regarding the most prevalent disorders in cats and dogs.
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: ResourcesRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: ResourcesRole: SoftwareRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                29 November 2017
                2017
                : 12
                : 11
                : e0188481
                Affiliations
                [1 ] vHive, School of Veterinary Medicine, University of Surrey, Guildford, United Kingdom
                [2 ] Zoetis International Office, Dublin, Ireland
                [3 ] Oggii Ltd, Tel Aviv, Israel
                University of Sydney Faculty of Veterinary Science, AUSTRALIA
                Author notes

                Competing Interests: David Bartram and Robert Holland work for Zoetis. Alasdair Cook has received a grant from Zoetis. Yoni Dror is CEO at Oggii Ltd. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

                Author information
                http://orcid.org/0000-0002-2146-4432
                http://orcid.org/0000-0002-3360-9811
                Article
                PONE-D-17-22129
                10.1371/journal.pone.0188481
                5706712
                29186154
                7b5d1d76-f8cb-46ae-91bb-3b88ade1c4b3
                © 2017 den Uijl et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 9 June 2017
                : 8 November 2017
                Page count
                Figures: 1, Tables: 4, Pages: 13
                Funding
                Funded by: Zoetis Belgium S A
                Award ID: 117062
                Award Recipient :
                The study was funded by a grant named “ Animal Health Innovation Centre”, No. 117062, by Zoetis Belgium SA, ( https://www.zoetis.com/) to AC, as part of the veterinary health innovation engine (vHive), https://vhive.buzz/. vHive is a co-funded partnership between Zoetis and the University of Surrey. AC, IdU and CBGÁ were partly funded by this partnership. The funder provided support in the form of salaries for authors (DB and RH) but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. Oggii Ltd provided support in the form of salaries for authors (YD) and taggers, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.
                Categories
                Research Article
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Amniotes
                Mammals
                Dogs
                Biology and Life Sciences
                Behavior
                Animal Behavior
                Biology and Life Sciences
                Zoology
                Animal Behavior
                Engineering and Technology
                Electronics
                Accelerometers
                Biology and Life Sciences
                Behavior
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Animal Types
                Pets and Companion Animals
                Biology and Life Sciences
                Zoology
                Animal Types
                Pets and Companion Animals
                Biology and Life Sciences
                Physiology
                Biological Locomotion
                Walking
                Medicine and Health Sciences
                Physiology
                Biological Locomotion
                Walking
                Biology and Life Sciences
                Physiology
                Physiological Processes
                Sleep
                Medicine and Health Sciences
                Physiology
                Physiological Processes
                Sleep
                Biology and Life Sciences
                Physiology
                Physiological Processes
                Eating
                Medicine and Health Sciences
                Physiology
                Physiological Processes
                Eating
                Custom metadata
                Data are available from doi: 10.6084/m9.figshare.5594530.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article

                scite_
                40
                0
                36
                0
                Smart Citations
                40
                0
                36
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content101

                Cited by13

                Most referenced authors425